AI Coding Evaluator & Testing Architect (Python)

Mindrift

United States

On-site

USD 55,000 - 69,000

Full time

14 days+

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Job summary

Mindrift seeks a software evaluation engineer to craft realistic developer environments and structured tasks for AI coding agents. You will define what counts as solved, write tests that accept multiple correct approaches, and iterate on tasks based on QA feedback.

Strong Python/FastAPI and React experience is required, with Docker, Postgres, Kafka, and Redis proficiency. You will collaborate with a cross-functional team to ensure evaluations are fair, robust, and scalable, while maintaining

Qualifications

  • 5+ years in software development.
  • Core stack includes Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres.
  • Experience with Kafka and Redis.
  • Experience writing tests (functional, integration)
  • English proficiency - B2+

Responsibilities

  • Build realistic developer environments—a virtual company with codebase, infrastructure, and context (tickets, docs, conversations).
  • Design tasks from intermediate states of these environments—craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent.
  • Write tests that verify agent solutions—accept all valid approaches and reject incorrect ones, neither too strict nor too lenient.
  • Iterate on tasks and tests based on QA feedback—review agent solutions, analyze failures, and refine until the evaluation is fair and robust.

Skills

Python
FastAPI
JavaScript/TypeScript
React
Docker
Postgres
Kafka
Redis

Job description

Mindrift seeks a software evaluation engineer to craft realistic developer environments and structured tasks for AI coding agents. You will define what counts as solved, write tests that accept multiple correct approaches, and iterate on tasks based on QA feedback.

Strong Python/FastAPI and React experience is required, with Docker, Postgres, Kafka, and Redis proficiency. You will collaborate with a cross-functional team to ensure evaluations are fair, robust, and scalable, while maintaining

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